Title :
On the automatic indexing of cricket using camera motion parameters
Author :
Lazarescu, Mihai ; Venkatesh, Svetha ; West, Geoff
Author_Institution :
Sch. of Comput., Curtin Univ. of Technol., Perth, WA, Australia
Abstract :
This paper describes an application of camera motion estimation to index cricket games. The shots are labeled with the type of shot: glance left, glance right, left drive, right drive, left cut, right pull and straight drive. The method has the advantages that it is fast and avoids complex image segmentation. The classification of the cricket shots is done using an incremental learning algorithm. We tested the method on over 600 shots and the results show that the system has a classification accuracy of 74%.
Keywords :
cameras; games of skill; image classification; learning (artificial intelligence); motion estimation; sport; automatic indexing; camera motion estimation; camera motion parameters; classification accuracy; cricket games; cricket shots classification; image processing; incremental learning algorithm; Cameras; Frequency; Image segmentation; Machine assisted indexing; Motion estimation; Robustness; System testing; Tracking;
Conference_Titel :
Multimedia and Expo, 2002. ICME '02. Proceedings. 2002 IEEE International Conference on
Print_ISBN :
0-7803-7304-9
DOI :
10.1109/ICME.2002.1035905